Water-Vapour Monitoring from Ground-Based GNSS Observations in Northwestern Argentina

被引:0
|
作者
Antonoglou, Nikolaos [1 ,2 ]
Balidakis, Kyriakos [2 ]
Wickert, Jens [2 ,3 ]
Dick, Galina [2 ]
de la Torre, Alejandro [4 ]
Bookhagen, Bodo [1 ]
机构
[1] Univ Potsdam, Inst Geosci, Karl Liebknecht Str 24-25, D-14476 Potsdam, Germany
[2] German Res Centre Geosci GFZ, D-14473 Potsdam, Germany
[3] Tech Univ Berlin, Inst Geodesy & Geoinformat Sci, Str 17,Juni 135, D-10623 Berlin, Germany
[4] Univ Austral, Fac Ingn, Mariano Acosta 1611, RA-1630 Pilar B, Argentina
关键词
GNSS meteorology; GNSS remote sensing; intense rain events; water vapour; Central Andes; orographic barrier; South American monsoon system; NUMERICAL WEATHER PREDICTION; SOUTHEASTERN SOUTH-AMERICA; LOW-LEVEL JET; CONVECTIVE SYSTEMS; PRECIPITABLE WATER; RAINFALL EVENTS; MONSOON SYSTEM; EROSION; DELAYS; CLIMATOLOGY;
D O I
10.3390/rs14215427
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Central Andes in northwestern Argentina are characterized by steep topographic and climatic gradients. The humid foreland areas at 1 km asl elevation rapidly rise to over 5 km in the eastern Cordillera, and they form an orographic rainfall barrier on the eastern windward side. This topographic setting combined with seasonal moisture transport through the South American monsoon system leads to intense rainstorms with cascading effects such as landsliding and flooding. In order to better quantify the dynamics of water vapour transport, we use high-temporal-resolution global navigation satellite system (GNSS) remote sensing techniques. We are particularly interested in better understanding the dynamics of high-magnitude storms with high water vapour amounts that have destructive effects on human infrastructure. We used an existing GNSS station network with 12 years of time series data, and we installed two new ground stations along the climatic gradient and collected GNSS time series data for three years. For several stations we calculated the GNSS signal delay gradient to determine water vapour transport direction. Our statistical analysis combines in situ rainfall measurements and ERA5 reanalysis data to reveal the water vapour transport mechanism for the study area. The results show a strong relationship between altitude and the water vapour content, as well as between the transportation pathways and the topography.
引用
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页数:25
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